Visual clustering method using genetic algorithm and image manipulation

• Main Authors: Ukrit Marung, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
• Format: Conference Proceeding
• Published: 2018
• Subjects: Computer Science
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84857264400&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/49856
• Institution: Chiang Mai University

Clustering method has been applied in many fields, including data mining, machine learning, information retrieval, and image analysis. In this paper, we propose a visual clustering method based on the genetic algorithm (GA) and image manipulation. The proposed method automatically determines the number of clusters in a binary image without using distance measures. There are three processes of the proposed method, i.e., creating the object table, mapping the object table into a binary image, and clustering objects in the binary image by using the GA and image manipulation. The effectiveness of the proposed method is tested on both synthetic data sets and a real data set. The experimental results show that the proposed method can effectively construct the clusters in both synthetic and real data sets. © 2011 IEEE.